representation learning

Mid-Level Deep Pattern Mining CVPR 2015 More About VLAD: A Leap From Euclidean to Riemannian Manifolds CVPR 2015 Multi-Manifold Deep Metric Learning for Image Set Classification CVPR 2015 Multiple Granularity Descriptors for Fine-Grained Categorization ICCV 2015 Natural Neural Networks NeurIPS 2015 On Deep Multi-View Representation Learning ICML 2015 One Shot Learning via Compositions of Meaningful Patches ICCV 2015 On the Relationship Between Visual Attributes and Convolutional Networks CVPR 2015 Rectified Factor Networks NeurIPS 2015 Recurrent Network Models for Human Dynamics ICCV 2015 Relaxing From Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging ICCV 2015 Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data NeurIPS 2015 Single Image 3D Without a Single 3D Image ICCV 2015 Supervised Mid-Level Features for Word Image Representation CVPR 2015 The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification CVPR 2015 Understanding Deep Image Representations by Inverting Them CVPR 2015 Understanding Image Representations by Measuring Their Equivariance and Equivalence CVPR 2015 Unsupervised Learning of Video Representations using LSTMs ICML 2015 Video Summarization by Learning Submodular Mixtures of Objectives CVPR 2015 A Deep Semi-NMF Model for Learning Hidden Representations ICML 2014 An Autoencoder Approach to Learning Bilingual Word Representations NeurIPS 2014 A Unified Semantic Embedding: Relating Taxonomies and Attributes NeurIPS 2014 Avoiding pathologies in very deep networks AISTATS 2014 Conditioned Basis Array Factorization: An Approach to Gait Pattern Extraction RSS 2014 Convex Deep Learning via Normalized Kernels NeurIPS 2014